The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Dynamic analysis between the US stock returns and the macroeconomic variables
Abstract
This study investigates the long-term and short-term relationships between the US stock price index (S&P 500) and six macroeconomic variables over the period 1975:1–1999:4. We observe that the stock prices negatively relate to the long-term interest rate, but positively relate to the money supply, industrial production, inflation, the exchange rate and the short-term interest rate. In the Granger causality sense, every macroeconomic variable causes the stock prices in the long-run but not in the short-run. Moreover, these results are also supported by the VDC, i.e. the stock prices are relatively exogenous in relation to other variables because almost 87% of its own variance is explained by its own stock even after 24 months.
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Cites
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Metadata
- Authors
- Ratanapakorn, O., & Sharma, S. C.
- Venue
- Applied Financial Economics
- Publisher
- Informa UK Limited
- Published
- 2007-03
- Volume
- 17
- Issue
- 5
- Pages
- 369-377
- ISSN
- 0960-3107 (ISSN-L)
- 1466-4305
- OpenAlex
- W2089780443
- Cited by
- 255
- References
- 20
- FWCI
- 4.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ratanapakorn, O., & Sharma, S. C. (2007). Dynamic analysis between the US stock returns and the macroeconomic variables. Applied Financial Economics. https://doi.org/10.1080/09603100600638944
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.